Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2022-05-29 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2022-05-29_final
2022-05-29 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2022-05-29_final
2022-05-29 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2022-05-29_final
2022-05-29 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2022-05-29_final
2022-05-29 12:05:58	ga_s2bm_ard_3-2-1_49JGH_2022-05-29_final.stac-item
2022-05-30 09:51:25	ga_s2bm_ard_3-2-1_56KKG_2022-05-30_final.stac-item
2022-05-30 09:51:26	ga_s2bm_ard_3-2-1_55KHB_2022-05-30_final.stac-item
2022-05-30 09:51:30	ga_s2bm_ard_3-2-1_55KGB_2022-05-30_final
2022-05-30 09:51:33	ga_s2bm_ard_3-2-1_55KFB_2022-05-30_final
2022-05-30 09:52:13	ga_s2bm_ard_3-2-1_55KGU_2022-05-30_final
2022-05-30 09:52:20	ga_s2bm_ard_3-2-1_55KEU_2022-05-30_final
2022-05-30 09:52:28	ga_s2bm_ard_3-2-1_55KGT_2022-05-30_final
2022-05-30 09:52:31	ga_s2bm_ard_3-2-1_55KFT_2022-05-30_final
2022-05-30 09:52:46	ga_s2bm_ard_3-2-1_55KFS_2022-05-30_final
2022-05-30 09:52:49	ga_s2bm_ard_3-2-1_55KES_2022-05-30_final
2022-05-30 09:52:55	ga_s2bm_ard_3-2-1_55KDS_2022-05-30_final
2022-05-30 09:53:11	ga_s2bm_ard_3-2-1_55KGQ_2022-05-30_final
2022-05-30 09:53:18	ga_s2bm_ard_3-2-1_55KEQ_2022-05-30_final
2022-05-30 09:53:21	ga_s2bm_ard_3-2-1_55KDQ_2022-05-30_final
2022-05-30 09:53:37	ga_s2bm_ard_3-2-1_55JGN_2022-05-30_final
2022-05-30 09:53:47	ga_s2bm_ard_3-2-1_55JEN_2022-05-30_final
2022-05-30 09:53:51	ga_s2bm_ard_3-2-1_55JDN_2022-05-30_final
2022-05-30 09:53:58	ga_s2bm_ard_3-2-1_55JFM_2022-05-30_final
2022-05-30 09:54:09	ga_s2bm_ard_3-2-1_55JCM_2022-05-30_final
2022-05-30 09:54:13	ga_s2bm_ard_3-2-1_55JFL_2022-05-30_final
2022-05-30 09:54:23	ga_s2bm_ard_3-2-1_55JCL_2022-05-30_final
2022-05-30 09:54:50	ga_s2bm_ard_3-2-1_55JFH_2022-05-30_final
2022-05-30 09:54:52	ga_s2bm_ard_3-2-1_55JCJ_2022-05-30_final
2022-05-30 09:55:00	ga_s2bm_ard_3-2-1_55JEH_2022-05-30_final
2022-05-30 09:55:03	ga_s2bm_ard_3-2-1_55JDH_2022-05-30_final
2022-05-30 09:55:07	ga_s2bm_ard_3-2-1_55JCH_2022-05-30_final
2022-05-30 09:55:29	ga_s2bm_ard_3-2-1_55JEF_2022-05-30_final
2022-05-30 09:55:32	ga_s2bm_ard_3-2-1_55JDF_2022-05-30_final
2022-05-30 09:56:08	ga_s2bm_ard_3-2-1_55HBD_2022-05-30_final
2022-05-30 09:56:10	ga_s2bm_ard_3-2-1_54HYJ_2022-05-30_final
2022-05-30 09:56:23	ga_s2bm_ard_3-2-1_55HBC_2022-05-30_final
2022-05-30 09:56:25	ga_s2bm_ard_3-2-1_54HYH_2022-05-30_final
2022-05-30 09:56:31	ga_s2bm_ard_3-2-1_55HDB_2022-05-30_final
2022-05-30 09:56:37	ga_s2bm_ard_3-2-1_55HBB_2022-05-30_final
2022-05-30 09:56:45	ga_s2bm_ard_3-2-1_55HDA_2022-05-30_final
2022-05-30 09:56:52	ga_s2bm_ard_3-2-1_55HBA_2022-05-30_final
2022-05-30 09:56:53	ga_s2bm_ard_3-2-1_54HYF_2022-05-30_final
2022-05-30 09:56:58	ga_s2bm_ard_3-2-1_55HDV_2022-05-30_final
2022-05-30 09:57:03	ga_s2bm_ard_3-2-1_55HCV_2022-05-30_final
2022-05-30 09:57:06	ga_s2bm_ard_3-2-1_55HBV_2022-05-30_final
2022-05-30 09:57:08	ga_s2bm_ard_3-2-1_54HYE_2022-05-30_final
2022-05-30 09:57:10	ga_s2bm_ard_3-2-1_54HXE_2022-05-30_final
2022-05-30 09:57:14	ga_s2bm_ard_3-2-1_55HBV_2022-05-30_final
2022-05-30 09:57:14	ga_s2bm_ard_3-2-1_55HBU_2022-05-30_final
2022-05-30 09:57:15	ga_s2bm_ard_3-2-1_54HYE_2022-05-30_final
2022-05-30 09:57:16	ga_s2bm_ard_3-2-1_54HXE_2022-05-30_final
2022-05-30 09:57:21	ga_s2bm_ard_3-2-1_55HBU_2022-05-30_final
2022-05-30 09:57:47	ga_s2bm_ard_3-2-1_55HCS_2022-05-30_final
2022-05-30 09:57:50	ga_s2bm_ard_3-2-1_55HBS_2022-05-30_final
2022-05-30 09:57:51	ga_s2bm_ard_3-2-1_54HYB_2022-05-30_final
2022-05-30 09:58:01	ga_s2bm_ard_3-2-1_55GCR_2022-05-30_final
2022-05-30 09:58:05	ga_s2bm_ard_3-2-1_55GBR_2022-05-30_final
2022-05-30 09:58:05	ga_s2bm_ard_3-2-1_54GYA_2022-05-30_final
2022-05-30 09:58:13	ga_s2bm_ard_3-2-1_55GCQ_2022-05-30_final
2022-05-30 09:58:19	ga_s2bm_ard_3-2-1_55GBQ_2022-05-30_final.stac-item
2022-05-30 09:58:19	ga_s2bm_ard_3-2-1_54GYV_2022-05-30_final.stac-item
2022-05-30 09:58:23	ga_s2bm_ard_3-2-1_55GCP_2022-05-30_final
2022-05-30 11:31:29	ga_s2bm_ard_3-2-1_52LBJ_2022-05-30_final
2022-05-30 11:31:35	ga_s2bm_ard_3-2-1_51LZD_2022-05-30_final
2022-05-30 11:31:39	ga_s2bm_ard_3-2-1_51LYD_2022-05-30_final
2022-05-30 11:31:42	ga_s2bm_ard_3-2-1_51LXD_2022-05-30_final
2022-05-30 11:31:48	ga_s2bm_ard_3-2-1_51LZC_2022-05-30_final
2022-05-30 11:31:59	ga_s2bm_ard_3-2-1_51KZB_2022-05-30_final
2022-05-30 11:32:07	ga_s2bm_ard_3-2-1_51KYB_2022-05-30_final
2022-05-30 11:32:14	ga_s2bm_ard_3-2-1_51KWB_2022-05-30_final
2022-05-30 11:32:19	ga_s2bm_ard_3-2-1_51KVB_2022-05-30_final
2022-05-30 11:32:32	ga_s2bm_ard_3-2-1_51KVA_2022-05-30_final
2022-05-30 11:32:44	ga_s2bm_ard_3-2-1_51KWV_2022-05-30_final
2022-05-30 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2022-05-30_final
2022-05-30 11:33:02	ga_s2bm_ard_3-2-1_51KYT_2022-05-30_final
2022-05-30 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2022-05-30_final
2022-05-30 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2022-05-30_final
2022-05-30 11:34:00	ga_s2bm_ard_3-2-1_51KVQ_2022-05-30_final
2022-05-30 11:34:25	ga_s2bm_ard_3-2-1_51JWN_2022-05-30_final
2022-05-30 11:34:29	ga_s2bm_ard_3-2-1_51JVN_2022-05-30_final
2022-05-30 11:34:32	ga_s2bm_ard_3-2-1_51JUN_2022-05-30_final
2022-05-30 11:34:36	ga_s2bm_ard_3-2-1_51JTN_2022-05-30_final
2022-05-30 11:34:37	ga_s2bm_ard_3-2-1_50JRT_2022-05-30_final
2022-05-30 11:34:46	ga_s2bm_ard_3-2-1_51JUM_2022-05-30_final
2022-05-30 11:35:01	ga_s2bm_ard_3-2-1_51JUL_2022-05-30_final
2022-05-30 11:35:15	ga_s2bm_ard_3-2-1_51JUK_2022-05-30_final
2022-05-30 11:35:30	ga_s2bm_ard_3-2-1_51JUJ_2022-05-30_final
2022-05-30 11:35:41	ga_s2bm_ard_3-2-1_51JVH_2022-05-30_final
2022-05-30 11:35:45	ga_s2bm_ard_3-2-1_51JUH_2022-05-30_final
2022-05-30 11:35:50	ga_s2bm_ard_3-2-1_50JQN_2022-05-30_final
2022-05-30 11:36:10	ga_s2bm_ard_3-2-1_51JVF_2022-05-30_final
2022-05-30 11:36:28	ga_s2bm_ard_3-2-1_51HUE_2022-05-30_final
2022-05-30 11:36:33	ga_s2bm_ard_3-2-1_51HVD_2022-05-30_final
2022-05-30 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2022-05-30_final
2022-05-30 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2022-05-30_final
2022-05-30 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2022-05-30_final
2022-05-30 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2022-05-30_final
2022-05-30 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2022-05-30_final
2022-05-30 11:37:12	ga_s2bm_ard_3-2-1_51HUB_2022-05-30_final.stac-item
2022-05-30 11:37:15	ga_s2bm_ard_3-2-1_51HTB_2022-05-30_final.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years